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Postgres FD Implementation
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Abuhujair Javed
Postgres FD Implementation
Commits
8c556ce1
Commit
8c556ce1
authored
Nov 22, 2006
by
Bruce Momjian
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New async/sync multi-master headings for docs.
parent
3b031358
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doc/src/sgml/high-availability.sgml
doc/src/sgml/high-availability.sgml
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doc/src/sgml/high-availability.sgml
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8c556ce1
<!-- $PostgreSQL: pgsql/doc/src/sgml/high-availability.sgml,v 1.1
0 2006/11/22 04:00:19
momjian Exp $ -->
<!-- $PostgreSQL: pgsql/doc/src/sgml/high-availability.sgml,v 1.1
1 2006/11/22 04:01:40
momjian Exp $ -->
<chapter id="high-availability">
<chapter id="high-availability">
<title>High Availability and Load Balancing</title>
<title>High Availability and Load Balancing</title>
...
@@ -133,11 +133,11 @@ protocol to make nodes agree on a serializable transactional order.
...
@@ -133,11 +133,11 @@ protocol to make nodes agree on a serializable transactional order.
</varlistentry>
</varlistentry>
<varlistentry>
<varlistentry>
<term>Master
/
Slave Replication</term>
<term>Master
-
Slave Replication</term>
<listitem>
<listitem>
<para>
<para>
A master
/
slave replication setup sends all data modification
A master
-
slave replication setup sends all data modification
queries to the master server. The master server asynchronously
queries to the master server. The master server asynchronously
sends data changes to the slave server. The slave can answer
sends data changes to the slave server. The slave can answer
read-only queries while the master server is running. The
read-only queries while the master server is running. The
...
@@ -184,24 +184,24 @@ protocol to make nodes agree on a serializable transactional order.
...
@@ -184,24 +184,24 @@ protocol to make nodes agree on a serializable transactional order.
</varlistentry>
</varlistentry>
<varlistentry>
<varlistentry>
<term>Multi-Master Replication</term>
<term>
Synchonous
Multi-Master Replication</term>
<listitem>
<listitem>
<para>
<para>
In
multi-master replication, each server can accept write
In
synchonous multi-master replication, each server can accept
requests, and modified data is transmitted from the original
write requests, and modified data is transmitted from the
server to every other server before each transaction commits.
original server to every other server before each transaction
Heavy write activity can cause excessive locking, leading to
commits. Heavy write activity can cause excessive locking,
poor performance. In fact, write performance is often worse
leading to poor performance. In fact, write performance is
than that of a single server. Read requests can be sent to
often worse than that of a single server. Read requests can
any server. Some implementations use cluster-wide shared memory
be sent to any server. Some implementations use cluster-wide
or shared disk to reduce the communication overhead. Clustering
shared memory or shared disk to reduce the communication
is best for mostly read workloads, though its big advantage is
overhead. Clustering is best for mostly read workloads, though
that any server can accept write requests — there is no
its big advantage is that any server can accept write requests
need to partition workloads between master and slave servers,
— there is no need to partition workloads between master
and
because the data changes are sent from one server to another,
and
slave servers, and because the data changes are sent from
there is no problem with non-deterministic functions like
one server to another, there is no problem with non-deterministic
<function>random()</>.
functions like
<function>random()</>.
</para>
</para>
<para>
<para>
...
@@ -216,7 +216,7 @@ protocol to make nodes agree on a serializable transactional order.
...
@@ -216,7 +216,7 @@ protocol to make nodes agree on a serializable transactional order.
</varlistentry>
</varlistentry>
<varlistentry>
<varlistentry>
<term>
Multi-Master With Conflict Resolu
tion</term>
<term>
Asynchronous Multi-Master Replica
tion</term>
<listitem>
<listitem>
<para>
<para>
...
...
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